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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security Concepts | 15% | - Security principles
|
| Topic 2: Secure Network Access | 10% | - Identity and access control
|
| Topic 3: Endpoint Protection and Detection | 15% | - Endpoint security solutions
|
| Topic 4: Network Security | 20% | - Secure routing and switching
|
| Topic 5: Automation and Programmability | 5% | - Security automation
|
| Topic 6: Content Security | 20% | - Email and web security
|
| Topic 7: Cloud Security | 15% | - Cloud security concepts
|
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NEW QUESTION # 611
What are the two most commonly used authentication factors in multifactor authentication? (Choose two)
Answer: A,C
Explanation:
Explanation:
Multi-factor Authentication (MFA) is an authentication method that requires the user to provide two or more verification factors to gain access to a resource. MFA requires means of verification that unauthorized users won't have.
Proper multi-factor authentication uses factors from at least two different categories.
MFA methods:
+ Knowledge - usually a password - is the most commonly used tool in MFA solutions. However, despite their simplicity, passwords have become a security problem and slow down productivity.
+ Physical factors - also called possession factors-use tokens, such as a USB dongle or a portable device, that generate a temporary QR (quick response) code. Mobile phones are commonly used, as they have the advantage of being readily available in most situations.
+ Inherent - This category includes biometrics like fingerprint, face, and retina scans. As technology advances, it may also include voice ID or other behavioral inputs like keystroke metrics. Because inherent factors are reliably unique, always present, and secure, this category shows promise.
+ Location-based and time-based - Authentication systems can use GPS coordinates, network parameters, and metadata for the network in use, and device recognition for MFA. Adaptive authentication combines these data points with historical or contextual user data.
A time factor in conjunction with a location factor could detect an attacker attempting to authenticate in Europe when the user was last authenticated in California an hour prior, for example.
+ Time-based one-time password (TOTP) - This is generally used in 2FA but could apply to any MFA method where a second step is introduced dynamically at login upon completing a first step. The wait for a second step-in which temporary passcodes are sent by SMS or email-is usually brief, and the process is easy to use for a wide range of users and devices. This method is currently widely used.
+ Social media - In this case a user grants permission for a website to use their social media username and password for login. This provide an easy login process, and one generally available to all users.
+ Risk-based authentication - Sometimes called adaptive multi-factor authentication, this method combines adaptive authentication and algorithms that calculate risk and observe the context of specific login requests.
The goal of this method is to reduce redundant logins and provide a more user-friendly workflow.
+ Push-based 2FA - Push-based 2FA improves on SMS and TOTP 2FA by adding additional layers of security while improving ease of use. It confirms a user's identity with multiple factors of authentication that other methods cannot. Because push-based 2FA sends notifications through data networks like cellular or Wi-Fi, users must have data access on their mobile devices to use the 2FA functionality.
Reference: https://www.cisco.com/c/en/us/products/security/what-is-multi-factor-authentication.htmlThe two most popular authentication factors are knowledge and inherent (including biometrics like fingerprint,face, and retina scans. Biometrics is used commonly in mobile devices).
NEW QUESTION # 612
Which factor must be considered when choosing the on-premise solution over the cloud-based one?
Answer: B
NEW QUESTION # 613
Refer to the exhibit.
What does the number 15 represent in this configuration?
Answer: D
Explanation:
ExplanationThe syntax of this command is shown below:snmp-server group [group-name {v1 | v2c | v3
[auth | noauth | priv]}] [read read-view] [write write-view] [notify notify-view] [access access-list]The command above restricts which IP source addresses are allowed to access SNMP functions on the router. You could restrict SNMP access by simply applying an interface ACL to block incoming SNMP packets that don't come from trusted servers. However, this would not be as effective as using the global SNMP commands shown in this recipe. Because you can apply this method once for the whole router, it is much simpler than applying ACLs to block SNMP on all interfaces separately. Also, using interface ACLs would block not only SNMP packets intended for this router, but also may stop SNMP packets that just happened to be passing through on their way to some other destination device.
NEW QUESTION # 614
Drag and drop the solutions from the left onto the solution ' s benefits on the right.
Answer:
Explanation:
Explanation:
Cisco Stealthwatch - rapidly collects and analyzes netflow and telementy data to deliver in-depth visibility and understanding of network traffic Cisco ISE - obtains contextual identity and profiles for all users and device Cisco TrustSec - software defined segmentation that uses SGTs Cisco Umbrella - secure internet gateway ion the cloud that provides a security solution
NEW QUESTION # 615
What are two Detection and Analytics Engines of Cognitive Threat Analytics? (Choose two)
Answer: C,D
Explanation:
Cisco Cognitive Threat Analytics helps you quickly detect and respond to sophisticated, clandestine attacks that are already under way or are attempting to establish a presence within your environment. The solution automatically identifies and investigates suspicious or malicious web-based traffic. It identifies both potential and confirmed threats, allowing you to quickly remediate the infection and reduce the scope and damage of an attack, whether it's a known threat campaign that has spread across multiple organizations or a unique threat you've never seen before.
Detection and analytics features provided in Cognitive Threat Analytics are shown below:
+ Data exfiltration: Cognitive Threat Analytics uses statistical modeling of an organization's network to identify anomalous web traffic and pinpoint the exfiltration of sensitive data. It recognizes data exfiltration even in HTTPS-encoded traffic, without any need for you to decrypt transferred content
+ Command-and-control (C2) communication: Cognitive Threat Analytics combines a wide range of data, ranging from statistics collected on an Internet-wide level to host-specific local anomaly scores. Combining these indicators inside the statistical detection algorithms allows us to distinguish C2 communication from benign traffic and from other malicious activities. Cognitive Threat Analytics recognizes C2 even in HTTPSencoded or anonymous traffic, including Tor, without any need to decrypt transferred content, detecting a broad range of threats
...
NEW QUESTION # 616
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